The Social Relations of Ethnographic Fieldwork: Access, Ethics and Research Governance
Bibliographic record
Abstract
The focus of this methodological paper is to discuss the challenges of conducting fieldwork, using reflections from our experiences of accessing a research site for ethnographic data collection. The research project aimed to explore nurses' social relations in their workplace and the inequities between and within these relations among nurses of diverse social positions. Due to the sensitive nature of this topic, access to the research site posed several challenges and was further complicated by the bureaucratic ethics process that governs clinical sites in Australia. Although this study was considered a low and negligible risk research, negotiating the ethics process was full of hitches and hindrances resulting in the refusal of access. This paper offers ethnographers a reflection on challenges in accessing clinical sites to conduct research and a discussion of strategies that may be useful to navigate and counter these challenges by managing social relations in the field.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.176 | 0.163 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.016 | 0.054 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".